Showing 21-40 of 116 projects
Tutorials on implementing sequence-to-sequence models with PyTorch and TorchText for machine translation and more.
A Python library for serving large language models (LLMs) with high performance, including GPU acceleration and distributed inference.
A curated list of awesome papers and code for optimizing LLM/VLM inference performance
A collection of important graph embedding, classification and representation learning papers with implementations for vibe coders.
A PyTorch repository for practicing image classification on the CIFAR-100 dataset using various deep learning models.
Efficient implementations of state-of-the-art linear attention models for large language models and NLP tasks.
A TensorFlow implementation of the Transformer, a popular deep learning model for natural language processing tasks.
A PyTorch implementation of the Transformer architecture, a key component of modern language models.
JAX library for computer vision research with transformers, attention mechanisms, and vision models
A Python library that implements Graph Attention Networks, a powerful neural network architecture for graph-structured data.
An image inpainting model using deep neural networks and attention mechanisms, useful for vibe coders working on AI-powered applications.
A denoising autoencoder with adversarial losses and attention mechanisms for face swapping.
An AI-powered image segmentation library that can be used for a variety of computer vision tasks.
Draw a leader line in your web page using this JavaScript library.
Quantized attention that achieves 2-5x speedup over FlashAttention for language, image, and video models.
A comprehensive collection of research papers on automatic speech recognition, speech synthesis, and related topics.
A PyTorch implementation of the Graph Attention Network model for developers working with AI tools.
A PyTorch tutorial for building an image captioning model using the Show, Attend, and Tell technique.
High-performance vector graph neural network database in Rust for real-time AI inference and graph ML.
Real-time object detector using YOLOv12 with attention-centric architecture
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